# ai-trader

> Use this tool when you need to analyze and optimize trading strategies using natural language inputs, enabling AI assistants to fetch market data, run backtests, and list strategies to inform investment decisions. It solves problems related to trading algorithm analysis, market data retrieval, and strategy optimization. The ai-trader tool accepts natural language commands as input and outputs actionable trading insights and recommendations.

Canonical page: https://skillsregistry.net/skills/whchien-ai-trader  
JSON: https://api.skillsregistry.net/v1/skills/whchien-ai-trader

## Description

Enables AI assistants like Claude to run backtests, fetch market data, list strategies, and analyze trading algorithms via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mm2iyicpu5)
- **Repository:** <https://github.com/whchien/ai-trader>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "whchien-ai-trader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whchien-ai-trader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whchien-ai-trader/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt